AWS Expands Amazon SageMaker to Bring Machine Learning to Business Users
AWS announces several new Amazon SageMaker features at re:Invent 2021 that make machine learning accessible to non-technical business analysts while improving performance for experts.
AWS reveals a suite of new Amazon SageMaker features at re:Invent 2021 that extend machine learning capabilities to business users without technical expertise. The highlight of these announcements is the expansion of Amazon SageMaker Canvas, which provides a visual point-and-click interface that allows line-of-business analysts to generate accurate ML predictions without writing any code.
To address the growing need for high-quality training data, AWS introduces Amazon SageMaker Ground Truth Plus. This new managed service connects users with an expert workforce trained specifically on ML tasks, removing the burden of building custom labeling applications or managing large teams of labelers while ensuring strict data security and compliance requirements are met.
For data scientists and developers, AWS enhances Amazon SageMaker Studio with a unified notebook experience that combines data processing, analytics, and ML workflows into a single interface. This update allows users to access a wide variety of data sources and execute complex transformations for diverse workloads, ultimately making it easier and more cost-effective to build, train, and deploy machine learning models.